Microscopic energy consumption modelling of electric buses: model development, calibration, and validation

2021 ◽  
Vol 98 ◽  
pp. 102978
Author(s):  
Chiara Fiori ◽  
Marcello Montanino ◽  
Sune Nielsen ◽  
Marcin Seredynski ◽  
Francesco Viti
Keyword(s):  
Energy Consumption ◽  
Model Development ◽  
Calibration And Validation ◽  
Microscopic Energy

scholarly journals Modeling the energy consumption of trains by applying neural networks

2017 ◽  
Vol 232 (3) ◽  
pp. 816-823 ◽  
Author(s):  
Juan D Pineda-Jaramillo ◽  
Ricardo Insa ◽  
Pablo Martínez
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Energy Consumption ◽  
Power Consumption ◽  
High Accuracy ◽  
Calibration And Validation ◽  
The Neural Network ◽  
Consumption Data ◽  
Metro System

This paper presents the training of a neural network using consumption data measured in the underground network of Valencia (Spain), with the objective of estimating the energy consumption of the systems. After the calibration and validation of the neural network using part of the gathered consumption data, the results obtained show that the neural network is capable of predicting power consumption with high accuracy. Once fully trained, the network can be used to study the energy consumption of a metro system and for testing the hypothetical operation scenarios.

Theoretical Solutions for Key Technological Issues on Energy Savings Measurement and Verification

2013 ◽  
Vol 448-453 ◽  
pp. 4394-4398
Author(s):  
Jian Wei Tian ◽  
Hai Hong Chen ◽  
Zhi Zhong Li
Keyword(s):  
Energy Consumption ◽  
Uncertainty Analysis ◽  
Performance Measurement ◽  
Energy Saving ◽  
Energy Savings ◽  
Model Development ◽  
Heating System ◽  
National Standard ◽  
Baseline Model ◽  
Measurement And Verification

Two key technological issues i.e. significant energy consumption factors identification and baseline model development, energy savings uncertainty analysis are analyzed based on international performance measurement & verification protocol (IPMVP) and national standard GB/T 28750. Besides, two theoretical solutions are proposed correspondingly. Finally, energy savings calculation on an energy-saving retrofit project of a building heating system verifies the validity of the theoretical solutions proposed.

Investigation of Time and Energy Consumption using the Physical Model

1970 ◽  
Vol 111 (5) ◽  
pp. 85-88 ◽  
Author(s):  
A. Baums ◽  
A. Gordjusins ◽  
G. Kanonirs
Keyword(s):  
Image Analysis ◽  
Energy Consumption ◽  
Machine Vision ◽  
Software Development ◽  
Mobile Robot ◽  
Physical Model ◽  
Ant Colony Algorithm ◽  
Model Development ◽  
Route Planning ◽  
Time And Energy

Different machine vision, image analysis systems and navigation sensor modules were tested during the physical model development, the most conformable was selected. Different route planning algorithms were implemented and analyzed. The best result is obtained using the Ant-colony algorithm. The physical model is used for an autonomous outdoor mobile robot software development and student education. Ill. 3, bibl. 5 (in English; abstracts in English and Lithuanian).http://dx.doi.org/10.5755/j01.eee.111.5.363

scholarly journals Application of a Radiation-Derived Temperature Index Model to the Willow Creek Watershed in Idaho, USA

2021 ◽  
Author(s):  
Daniel D. Hamill ◽  
Jeremy J. Giovando ◽  
Chandler S. Engel ◽  
Travis A. Dahl ◽  
Michael D. Bartles
Keyword(s):  
Hydrological Modeling ◽  
Model Development ◽  
Primary Source ◽  
Snow Accumulation ◽  
Model Calculations ◽  
Substantial Impact ◽  
Temperature Index ◽  
Calibration And Validation ◽  
Index Model ◽  
Creek Watershed

The ability to simulate snow accumulation and melting processes is fundamental to developing real-time hydrological models in watersheds with a snowmelt-dominated flow regime. A primary source of uncertainty with this model development approach is the subjectivity related to which historical periods to use and how to combine parameters from multiple calibration events. The Hydrologic Engineering Center, Hydrological Modeling System, has recently implemented a hybrid temperature index (TI) snow module that has not been extensively tested. This study evaluates a radiatative temperature index (RTI) model’s performance relative to the traditional air TI model. The TI model for Willow Creek performed reasonably well in both the calibration and validation years. The results of the RTI calibration and validation simulations resulted in additional questions related to how best to parameterize this snow model. An RTI parameter sensitivity analysis indicates that the choice of calibration years will have a substantial impact on the parameters and thus the streamflow results. Based on the analysis completed in this study, further refinement and verification of the RTI model calculations are required before an objective comparison with the TI model can be completed.

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